Bayesian network-based high-speed rail traction system fault prediction method
A technology of Bayesian network and traction system, applied in the field of failure prediction of high-speed rail traction system based on Bayesian network, can solve problems such as open-loop system instability, reduce operation difficulty and maintenance cost, and achieve high practicability and reliability Sexuality and accurate results
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[0047] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments. The embodiments described in the present invention are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, other embodiments obtained by persons of ordinary skill in the art without creative efforts all belong to the protection scope of the present invention.
[0048] refer to figure 1 Shown, a kind of high-speed rail traction system fault prediction method based on Bayesian network of the present invention, first set up the closed-loop high-speed rail traction system bonding graph model, build Bayesian network structure according to the causal relationship provided by the bonding graph model, and then Perform deep feature extraction on the original signal, and use k-means to divide it into three categories: long-term, medium-term, and short-term according to the remainin...
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